新研究揭示阿尔茨海默病4种不同发展路径

Core Insights - Researchers from institutions including the University of California, Los Angeles, published a paper in the journal E-Biomedicine, revealing that Alzheimer's disease has a discernible development trajectory rather than being random [1] Group 1 - The study utilized advanced algorithms such as dynamic time warping and machine learning clustering to analyze electronic health records of nearly 25,000 Alzheimer's patients from the University of California health database [1] - The findings suggest that the occurrence of Alzheimer's disease is not coincidental, indicating a pattern in its progression [1]